Ridge Security Named in Four Categories Across Gartner Reports

Ridge Security, a leader in AI-powered offensive security and continuous security validation, has been included in four cybersecurity technology categories across three Gartner research reports, we believe it’s reflecting the growing focus on validating security defenses and identifying exposure before attackers can exploit it.

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Ridge Security Recognized Across Gartner Research on Agentic AI, Red Teaming and Exposure Management

The reports include:

• Adversarial Exposure Validation: Market Guide for Adversarial Exposure Validation lists Ridge Security for its RidgeBot in its table of Representative Vendors.
• Agentic Red Teaming: Emerging Tech Impact Radar: Preemptive Cybersecurity includes Ridge Security among its Sample Vendors.
• Unified Exposure Management Platforms: Emerging Tech Impact Radar: Preemptive Cybersecurity report includes Ridge Security among its Sample Vendors.
• Agentic AI for Security: Emerging Tech Impact Radar: AI Cybersecurity Ecosystem includes Ridge Security among its Sample Vendors.

Together, these categories reflect a broader shift in cybersecurity toward more continuous, automated ways to test defenses, understand exposure and identify weaknesses before they can be exploited.

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“The industry is moving beyond simply identifying vulnerabilities to proving which weaknesses can be exploited and how they could be chained into a real attack. AI is accelerating that shift, making it possible to test defenses with greater depth and frequency than traditional approaches allow. The goal isn’t just to find more vulnerabilities. It’s to give security teams clear evidence of where they’re exposed and what they need to fix first and how to fix it,” said Lydia Zhang, President of Ridge Security.

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Ridge Security’s portfolio includes RidgeBot, its automated penetration testing platform; RidgeGen™, its agentic AI platform for autonomous security testing and red teaming; and RidgeOne, an “AI Pentesting in a Box” solution that combines RidgeGen with a locally running AI model on NVIDIA DGX Spark. Together, these solutions help organizations identify vulnerabilities, validate attack paths and better understand their exposure, and determine how to remediate security issues. RidgeOne extends autonomous testing into environments where data privacy, infrastructure requirements and AI costs are key considerations.

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